Cardiac arrest & resuscitation
Prediction of good functional outcome decreases diagnostic uncertainty in unconscious survivors after out-of-hospital cardiac arrest
Authors' conclusion
Raising the GCS-M inclusion threshold and adding favourable predictors to the 2021 ERC/ESICM prognostication algorithm reduced prognostic uncertainty without increasing falsely pessimistic predictions.
Study context
- Population
- Unconscious survivors after OHCA
- Participants
- 3,388 survivors · 4 prospective multicentre studies
- Comparison
- Modified algorithm vs 2021 ERC/ESICM neuroprognostication algorithm
- Primary endpoint
- Prognostic accuracy for functional outcome:
- Good outcome: modified Rankin Scale 0-3
- Cerebral Performance Category 1-2
- Glasgow Outcome Scale 4-5
- Follow-up
- Six months
Methodological detailsTTM, TTM2, KORHN and ProNeCA, prognostic accuracy
- TTM, TTM2, KORHN and ProNeCA
- Prognostic accuracy
Primary result
As reported in the abstract
Indeterminate prognosis
Further findings
- Specificity of 2021 ERC/ESICM poor outcome criteria · 6 months
- 870 · events
Poor outcome identification with Glasgow Coma Scale motor (GCS-M) < 6 threshold
- More patients entering the algorithm
- 366
- More patients with poor outcomes identified, with close to identical specificity
- 7
Good functional outcome among patients identified by good outcome predictors · 6 months
- Patients with potential recovery identified by good outcome predictors
- 673
- Of these, good functional outcome at 6 months
- 411 (61%)
Original publication
Prediction of good functional outcome decreases diagnostic uncertainty in unconscious survivors after out-of-hospital cardiac arrest. Resuscitation. Published 16 June 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →